M. Debnath, J. Padhi, Priyambada Satapathy, R. Mallick
Fuzzy-PID controller with derivative filter (Fuzzy-PIDF) is suggested in this article for automatic generation control in a two area multi-unit hydro-thermal system. The controller scaling coefficients are tuned with a simple and a new powerful optimization technique called JAYA algorithm. Integral time absolute error (ITAE) is used as a fitness function to achieve the optimal parameters of the Fuzzy-PIDF controller with an abrupt load disturbance of 0.01p.u. applied in area 1. Further, this controller is scrutinized for robustness by increasing the loading in the system. The dynamic responses of this implemented controller being optimized by JAYA algorithm are evaluated and compared with the results of previously published article such as hybrid firefly algorithm and pattern search technique based PID controller in terms of peak undershoot, overshoot and settling time and supremacy is proved.
{"title":"Application of JAYA Algorithm to Tune Fuzzy-PIDF Controller for Automatic Generation Control","authors":"M. Debnath, J. Padhi, Priyambada Satapathy, R. Mallick","doi":"10.1109/CINE.2017.13","DOIUrl":"https://doi.org/10.1109/CINE.2017.13","url":null,"abstract":"Fuzzy-PID controller with derivative filter (Fuzzy-PIDF) is suggested in this article for automatic generation control in a two area multi-unit hydro-thermal system. The controller scaling coefficients are tuned with a simple and a new powerful optimization technique called JAYA algorithm. Integral time absolute error (ITAE) is used as a fitness function to achieve the optimal parameters of the Fuzzy-PIDF controller with an abrupt load disturbance of 0.01p.u. applied in area 1. Further, this controller is scrutinized for robustness by increasing the loading in the system. The dynamic responses of this implemented controller being optimized by JAYA algorithm are evaluated and compared with the results of previously published article such as hybrid firefly algorithm and pattern search technique based PID controller in terms of peak undershoot, overshoot and settling time and supremacy is proved.","PeriodicalId":236972,"journal":{"name":"2017 3rd International Conference on Computational Intelligence and Networks (CINE)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121102328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. K. Mohanty, Arun Kumar Sah, Vikash Kumar, S. Kundu
Autonomous mobile robot has tremendous application in various environment due to the fact that they work without human intervention. Path planning and obstacle avoidance are challenging problem for autonomous mobile robot. This paper explores--- the obstacle avoidance technique for wheeled mobile robot based on Deep-Q-Learning. In this paper, we introduce a log-based reward value field function which is the reward receives by agent based on relative positions of agent, obstacles and goal. We perform the experiment in simulated environment and physical environment. Finally, we measure the accuracy of the performance of the obstacle avoidance ability of the robot based of hit rate metrices. Our presented method achieves high success rate to avoid collisions.
{"title":"Application of Deep Q-Learning for Wheel Mobile Robot Navigation","authors":"P. K. Mohanty, Arun Kumar Sah, Vikash Kumar, S. Kundu","doi":"10.1109/CINE.2017.11","DOIUrl":"https://doi.org/10.1109/CINE.2017.11","url":null,"abstract":"Autonomous mobile robot has tremendous application in various environment due to the fact that they work without human intervention. Path planning and obstacle avoidance are challenging problem for autonomous mobile robot. This paper explores--- the obstacle avoidance technique for wheeled mobile robot based on Deep-Q-Learning. In this paper, we introduce a log-based reward value field function which is the reward receives by agent based on relative positions of agent, obstacles and goal. We perform the experiment in simulated environment and physical environment. Finally, we measure the accuracy of the performance of the obstacle avoidance ability of the robot based of hit rate metrices. Our presented method achieves high success rate to avoid collisions.","PeriodicalId":236972,"journal":{"name":"2017 3rd International Conference on Computational Intelligence and Networks (CINE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127396108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The outburst growth and the wide accessibility of the internet has aroused gush of investigate motion in the area of information retrieval on the Web. Due to expansion of internet, it is necessary to remain locational competence to attract user needs. The internet provides a rich source of information which are surrounded has involvement of links and further of hyperlinks through which they are linked hence communicate. So idea of page ranking comes into picture to retrieve authentic data from the web. Its basic role is to calculate the priority and nature of web pages. This paper represents the revised version of page rank using the same classical recipe and added some more ingredients like time, backlinks, navigation, synonym to make it more tempting to the users which has inattentive limit as contrasted with vintage Page Rank Algorithm. Although a speedy for data extraction is yet in demand
{"title":"Modified Page Rank Algorithm: Efficient Version of Simple Page Rank with Time, Navigation and Synonym Factor","authors":"T. Sen, D. K. Chaudhary, T. Choudhury","doi":"10.1109/CINE.2017.24","DOIUrl":"https://doi.org/10.1109/CINE.2017.24","url":null,"abstract":"The outburst growth and the wide accessibility of the internet has aroused gush of investigate motion in the area of information retrieval on the Web. Due to expansion of internet, it is necessary to remain locational competence to attract user needs. The internet provides a rich source of information which are surrounded has involvement of links and further of hyperlinks through which they are linked hence communicate. So idea of page ranking comes into picture to retrieve authentic data from the web. Its basic role is to calculate the priority and nature of web pages. This paper represents the revised version of page rank using the same classical recipe and added some more ingredients like time, backlinks, navigation, synonym to make it more tempting to the users which has inattentive limit as contrasted with vintage Page Rank Algorithm. Although a speedy for data extraction is yet in demand","PeriodicalId":236972,"journal":{"name":"2017 3rd International Conference on Computational Intelligence and Networks (CINE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126043775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A relatively new technology, palmprint recognition, has evolved drastically over the recent years. It is currently considered to be one of the potential research topics due to the escalating need of biometric authentication based security systems. This paper presents a method of authentication of hand images by relaxed collaborative representation (RCR) model of classification. It makes use of the similarity as well as uniqueness of the associated features. By computing the radon transform of the images, the feature vectors of the images are computed. The coding of each feature vector is done over the dictionary that is linked with RCR and in order to compute the resemblance among features the inconsistency of coding vectors is reduced. The main aim is to develop an efficient system whose results can be implemented on any database.
{"title":"Palmprint Recognition Using Radon Transform and Relaxed Collaborative Representation Based Classifier","authors":"Soumee Guha, D. Basu, A. Chatterjee","doi":"10.1109/CINE.2017.26","DOIUrl":"https://doi.org/10.1109/CINE.2017.26","url":null,"abstract":"A relatively new technology, palmprint recognition, has evolved drastically over the recent years. It is currently considered to be one of the potential research topics due to the escalating need of biometric authentication based security systems. This paper presents a method of authentication of hand images by relaxed collaborative representation (RCR) model of classification. It makes use of the similarity as well as uniqueness of the associated features. By computing the radon transform of the images, the feature vectors of the images are computed. The coding of each feature vector is done over the dictionary that is linked with RCR and in order to compute the resemblance among features the inconsistency of coding vectors is reduced. The main aim is to develop an efficient system whose results can be implemented on any database.","PeriodicalId":236972,"journal":{"name":"2017 3rd International Conference on Computational Intelligence and Networks (CINE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133922593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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